Puyang’s Personal Website 🚀

🎓 Academic Journey

Ph.D. student, Biostatistics and Data Science, UT Health Science Center at Houston
M.Sc. in Mathematics and Statistics, University of Melbourne

I am currently a Research Assistant (RA) at UTHealth, focusing on tobacco control research. My academic journey includes ongoing Ph.D. studies in Biostatistics and Data Science at the UT Health Science Center at Houston.

🔬 Research Interests

My research interests span a wide range of areas in biostatistics and data science, particularly applied to public health and tobacco control:

Analysis of data from wearable devices
Speech emotion recognition for medical applications
Longitudinal & EMA (Ecological Momentary Assessment) data analysis
Multivariate and time series analysis
Machine learning in health research
E-cigarette and tobacco use behaviors

📚 Publications

📝 Peer-Reviewed Journal Articles

Zhang H., Zhao P.*, Tang G., Li Z., Yuan Z. Reproducible and Generalizable Speech Emotion Recognition via an Intelligent Fusion Network. Biomedical Signal Processing and Control, May 2025.
Zhao P., Yang J., Buu A.* Applied Statistical Methods for Identifying Features of Heart Rate that Are Associated with Nicotine Vaping. The American Journal of Drug and Alcohol Abuse, Feb 2025.
Zhang H.*, Huang H., Zhao P., Yu Z. Sparse Temporal-Aware Capsule Network for Robust Speech Emotion Recognition. Engineering Applications of Artificial Intelligence, 2025.
Zhang H.*, Huang H., Zhao P., Zhu X., Yu Z. CENN: Capsule-Enhanced Neural Network with Innovative Metrics for Robust Speech Emotion Recognition. Knowledge-Based Systems, Sep 2024.
Zhao P., Liu X., Yue Z., Zhao Q., Liu X., Deng Y., Wu J.* DiGAN Breakthrough: Advancing Diabetic Data Analysis with Innovative GAN-Based Imbalance Correction Techniques. Computer Methods and Programs in Biomedicine Update, 2024.

📄 Conference Proceedings

Zhao P., Yue Z., Liu X., Wu J. Weighted Federated Learning with Encryption for Diabetes Classification. IEEE CPS, AIxMHC, Taiwan, 2025. (Accepted)
Zhao P., Tian W., Xiao L., Liu X., Wu J. An Attention-Based Long Short-Term Memory Framework for Detection of Bitcoin Scams. IEEE HDIS, Tianjin, 2022. (Best Paper Nomination)
Zhao P., Tian W. Research on Prediction of Solar Power Considering the Methods of Statistical and Machine Learning – Based on the Data of Australian Solar Power Market. IOP Conference Series: Earth and Environmental Science, Tokyo, 2022.